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media-gen-mcp

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io.github.strato-space/media-gen-mcp · v1.0.4

MCP server for OpenAI Images/Videos and Google GenAI (Veo) media generation.

源仓库 ↗

概览

media-gen-mcp 是一个MCP Server，收录自 官方 MCP Registry。支持 stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。

安装

选择你的平台查看安装方式

{
  "mcpServers": {
    "media-gen-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@strato-space/media-gen-mcp"
      ]
    }
  }
}

环境变量

OPENAI_API_KEY可选secret

OpenAI API key (required for OpenAI image/video tools).

GEMINI_API_KEY可选secret

Gemini API key (alternative to GOOGLE_API_KEY).

GOOGLE_API_KEY可选secret

Google GenAI API key for Veo video tools.

GOOGLE_GENAI_USE_VERTEXAI可选

Set to true to use Vertex AI for Google GenAI.

GOOGLE_CLOUD_PROJECT可选

GCP project id for Vertex AI.

GOOGLE_CLOUD_LOCATION可选

GCP region for Vertex AI (e.g. us-central1).

AZURE_OPENAI_API_KEY可选secret

Azure OpenAI API key (optional).

AZURE_OPENAI_ENDPOINT可选

Azure OpenAI endpoint hostname.

OPENAI_API_VERSION可选

Azure OpenAI API version.

AZURE_OPENAI_DEPLOYMENT可选

Azure OpenAI deployment name.

MEDIA_GEN_DIRS可选

Comma-separated output directories for media files.

MEDIA_GEN_URLS可选

Comma-separated URL prefixes allowed for fetch tools.

MEDIA_GEN_MCP_URL_PREFIXES可选

Public URL prefixes for mapping local output files.

MEDIA_GEN_MCP_TEST_SAMPLE_DIR可选

Path to sample images for the test-images tool.

相关资源

统一 Manifest

{
  "id": "io.github.strato-space/media-gen-mcp",
  "type": "mcp-server",
  "version": "1.0.4",
  "displayName": "media-gen-mcp",
  "description": "MCP server for OpenAI Images/Videos and Google GenAI (Veo) media generation.",
  "repository": {
    "url": "https://github.com/strato-space/media-gen-mcp",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "npm",
        "identifier": "@strato-space/media-gen-mcp",
        "version": "1.0.4",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "OPENAI_API_KEY",
            "description": "OpenAI API key (required for OpenAI image/video tools).",
            "isSecret": true
          },
          {
            "name": "GEMINI_API_KEY",
            "description": "Gemini API key (alternative to GOOGLE_API_KEY).",
            "isSecret": true
          },
          {
            "name": "GOOGLE_API_KEY",
            "description": "Google GenAI API key for Veo video tools.",
            "isSecret": true
          },
          {
            "name": "GOOGLE_GENAI_USE_VERTEXAI",
            "description": "Set to true to use Vertex AI for Google GenAI."
          },
          {
            "name": "GOOGLE_CLOUD_PROJECT",
            "description": "GCP project id for Vertex AI."
          },
          {
            "name": "GOOGLE_CLOUD_LOCATION",
            "description": "GCP region for Vertex AI (e.g. us-central1)."
          },
          {
            "name": "AZURE_OPENAI_API_KEY",
            "description": "Azure OpenAI API key (optional).",
            "isSecret": true
          },
          {
            "name": "AZURE_OPENAI_ENDPOINT",
            "description": "Azure OpenAI endpoint hostname."
          },
          {
            "name": "OPENAI_API_VERSION",
            "description": "Azure OpenAI API version."
          },
          {
            "name": "AZURE_OPENAI_DEPLOYMENT",
            "description": "Azure OpenAI deployment name."
          },
          {
            "name": "MEDIA_GEN_DIRS",
            "description": "Comma-separated output directories for media files."
          },
          {
            "name": "MEDIA_GEN_URLS",
            "description": "Comma-separated URL prefixes allowed for fetch tools."
          },
          {
            "name": "MEDIA_GEN_MCP_URL_PREFIXES",
            "description": "Public URL prefixes for mapping local output files."
          },
          {
            "name": "MEDIA_GEN_MCP_TEST_SAMPLE_DIR",
            "description": "Path to sample images for the test-images tool."
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.strato-space/media-gen-mcp",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.strato-space%2Fmedia-gen-mcp/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}
media-gen-mcp — MCP Server 安装与配置 · AgentHub